Recent insights into the genotype–phenotype relationship from massively parallel genetic assays

Harry Kemble, Philippe Nghe, Olivier Tenaillon

Research output: Contribution to journalReview articlepeer-review

Abstract

With the molecular revolution in Biology, a mechanistic understanding of the genotype–phenotype relationship became possible. Recently, advances in DNA synthesis and sequencing have enabled the development of deep mutational scanning assays, capable of scoring comprehensive libraries of genotypes for fitness and a variety of phenotypes in massively parallel fashion. The resulting empirical genotype–fitness maps pave the way to predictive models, potentially accelerating our ability to anticipate the behaviour of pathogen and cancerous cell populations from sequencing data. Besides from cellular fitness, phenotypes of direct application in industry (e.g. enzyme activity) and medicine (e.g. antibody binding) can be quantified and even selected directly by these assays. This review discusses the technological basis of and recent developments in massively parallel genetics, along with the trends it is uncovering in the genotype–phenotype relationship (distribution of mutation effects, epistasis), their possible mechanistic bases and future directions for advancing towards the goal of predictive genetics.

Original languageEnglish
Pages (from-to)1721-1742
Number of pages22
JournalEvolutionary Applications
Volume12
Issue number9
DOIs
Publication statusPublished - 1 Oct 2019
Externally publishedYes

Keywords

  • distribution of fitness effects
  • epistasis
  • fitness landscapes
  • genotype–phenotype maps
  • high-throughput genetics
  • phenotypic models

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